improved on sops generations on questions and added bot suggestion

src/services/sop_generator.py

@@ -107,6 +107,37 @@ class SopPersonalAssessment:
         
         except:
             return False
+
+    def generate_roles_from_questionnaire(self, questionnaire_data: List[dict]) -> Roles_response:
+
+        try:
+            # List of areas: ["communication", "development", etc.]
+
+            prompt = get_roles_extraction_from_questionnaire()
+            response = self.client.beta.chat.completions.parse(
+                model=self.model,
+                messages=[
+                    {
+                        "role": "system",
+                        "content": f'''{prompt}''',
+                    },
+                    {
+                        "role": "user",
+                        "content": f'''Questionairre data : {questionnaire_data}''',
+                    }
+                ],
+                response_format=Roles_response,
+                max_tokens=1024,
+                temperature=0.1
+            )   
+            extracted_text = json.loads(response.choices[0].message.content)
+            # You can customize this to generate roles based on the questionnaire data
+
+            return extracted_text
+                
+        except Exception as e:
+            print(f"Error occurred: {str(e)}")
+            return False
         
 
 
@@ -116,7 +147,7 @@ class SopGeneratorExecutive:
         self.client = OpenAI(api_key=self.api_key)
         self.model = "gpt-4o-mini"
 
-    def extract_sops_from_executive_vision_goals_doc(self, data: dict,executives:List) -> SOPsResponse:
+    def extract_sops_from_executive_vision_goals_doc(self, data: dict,executive:str) -> SOPsResponse:
         """
         Extracts SOPs categorized into 'must,' 'shall,' and 'will' based on executive vision and goals.
 
@@ -126,11 +157,12 @@ class SopGeneratorExecutive:
         try:
              
             vision = data.get("vision", "No vision provided")
-            goals = data.get("goals", "No goals provided")
+            goals = data.get("mission", "No goals provided")
             
-            prompt = get_sop_executive_from_vision_goals(executives)
+            prompt = get_sop_executive_from_vision_goals(executive)
 
             user_content = f'''
+            Find the mission and vision provided below
             Vision: {vision}
             Goals: {goals}
             '''